// $Id$
/* --------------------------------------------------------------------------
CppAD: C++ Algorithmic Differentiation: Copyright (C) 2003-16 Bradley M. Bell

CppAD is distributed under multiple licenses. This distribution is under
the terms of the
                    Eclipse Public License Version 1.0.

A copy of this license is included in the COPYING file of this distribution.
Please visit http://www.coin-or.org/CppAD/ for information on other licenses.
-------------------------------------------------------------------------- */

/*
$begin atomic_mul_level.cpp$$
$spell
	checkpointing
$$

$section Atomic Operations and Multiple-Levels of AD: Example and Test$$

$head Discussion$$
One can use $cref checkpoint$$ or $cref atomic_base$$ to code
an $codei%AD<%Base%>%$$ operation as atomic.
This means that derivative computations that use the type $icode Base$$
will call the corresponding $code atomic_base$$ member functions.
On the other hand, if $icode Base$$ is $codei%AD<%Other%>%$$ the
operations recorded at the $icode Base$$ level will not be atomic.
This is demonstrated in this example.

$code
$srcfile%example/atomic/mul_level.cpp%0%// BEGIN C++%// END C++%1%$$
$$


$end
*/
// BEGIN C++

# include <cppad/cppad.hpp>

namespace {
	using CppAD::AD;
	typedef AD<double>                      a1double;
	typedef AD<a1double>                    a2double;
	typedef CPPAD_TESTVECTOR(a1double)      a1vector;
	typedef CPPAD_TESTVECTOR(a2double)      a2vector;

	void f_algo(const a2vector& x, a2vector& y)
	{	size_t n = x.size();
		y[0] = 0.0;
		for(size_t j = 1; j < n; j++)
			y[0] += x[j-1] * x[j];
		return;
	}
}
//
bool mul_level(void)
{	bool ok = true;
	using CppAD::checkpoint;
	using CppAD::ADFun;
	using CppAD::Independent;

	// domain dimension for this problem
	size_t n = 10;
	size_t m = 1;

	// checkpoint version of the function F(x)
	a2vector a2x(n), a2y(m);
	for(size_t j = 0; j < n; j++)
		a2x[j] = a2double(j + 1);
	//
	// could also use bool_sparsity_enum or set_sparsity_enum
	checkpoint<a1double> atom_f("atom_f", f_algo, a2x, a2y);
	//
	// Record a version of y = f(x) without checkpointing
	Independent(a2x);
	f_algo(a2x, a2y);
	ADFun<a1double> check_not(a2x, a2y);
	//
	// number of variables in a tape of f_algo that does not use checkpointing
	size_t size_not = check_not.size_var();
	//
	// Record a version of y = f(x) with checkpointing
	Independent(a2x);
	atom_f(a2x, a2y);
	ADFun<a1double> check_yes(a2x, a2y);
	//
	// f_algo is represented by one atomic operation in this tape
	ok &= check_yes.size_var() < size_not;
	//
	// now record operations at a1double level
	a1vector a1x(n), a1y(m);
	for(size_t j = 0; j < n; j++)
		a1x[j] = a1double(j + 1);
	//
	// without checkpointing
	Independent(a1x);
	a1y = check_not.Forward(0, a1x);
	ADFun<double> with_not(a1x, a1y);
	//
	// should have the same size
	ok &= with_not.size_var() == size_not;
	//
	// with checkpointing
	Independent(a1x);
	a1y = check_yes.Forward(0, a1x);
	ADFun<double> with_yes(a1x, a1y);
	//
	// f_algo is nolonger represented by one atomic operation in this tape
	ok &= with_yes.size_var() == size_not;
	//
	return ok;
}
// END C++
